Previous work has focused on event causality, creating corpora like CausalTimeBank (CTB) [1]} from news, CaTeRS [2]} from short stories and EventStoryLine [3]} from online news articles. Such corpora include rich event features like event class attributes and temporal expressions in TimeML annotation format. However, these corpora are typically limited in size. For example, EventStoryLine (ESL) has 1,770 causal event pairs, CaTeRS has 488 causal links, while CTB has 318 causal event pairs. Our work contributes to this strand of literature by providing more data: We have identified 1,957 causal event sentences, each of which can contain multiple event pairs.
